Instructions to use AnonymousResearcher/phi-2-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousResearcher/phi-2-tuned with Transformers:
# Load model directly from transformers import AutoTokenizer, PhiRegressor tokenizer = AutoTokenizer.from_pretrained("AnonymousResearcher/phi-2-tuned", trust_remote_code=True) model = PhiRegressor.from_pretrained("AnonymousResearcher/phi-2-tuned", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8de98a6f3c4ba7a992e95fb47644d3da254dd14daabf87f72166184bcd36cc12
- Size of remote file:
- 5.05 kB
- SHA256:
- 2e37b06a42631197ebef495333ab973691945dfbd4716be7f6446f79b892e021
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.